Tag artificial intelligence

IFIP EGOV-CeDEM-EPART 2023 – retrospective on how it was? From Metaverse to wine tasting

Anastasija Nikiforova 1 Comment

It finally took place! EGOV2023 – IFIP EGOV-CeDEM-EPART – one of the most recognized conference in e-Government, ICT and public administration and related topics (incl., Smart Cities, Sustainability, Innovation and many more) that lasted 3 days in charming city of Budapest (Hungary) is over, and I am here to reflect on it (just in a few words), since although these were just 3 days, they were very busy and full of insights, as well as activities, since every day I took another role, i.e., day#1 – presenter of the paper, day#2 – workshop organizer, day#3 – chair of two out of three sessions of “Emerging Issues and Innovations” track I co-chaired together with Marijn Janssen, Csaba Csaki and Francesco Mureddu. Not to forget, in this conference I am also a program committee of Open Data track.

Let me now provide a few insights on all these days, including my roles.

Let’s start with day#1… After conference opening by Ida Lindgren and Csaba Csaki – our local host, who did a great job – organized a very unique conference with exceptionally rich social programme, a brilliant keynote talk was delivered by Professor Yogesh K Dwivedi (possibly the most impactful researcher in the area) on Metaverse for Government and associated Challenges, Opportunities, as well as Future Research Agenda, as part of which the claim of a lack of studies on this topic was made. Luckily, our track “Emerging Issues and Innovations” has accepted one paper on Metaverse in digital government, which was the only at the conference, however, unfortunately, the discussion had not happened due to earlier departure of Yogesh and late arrival of authors. Anyway, almost immediately after the keynote the session, where I delivered a talk on HVD determination “Towards High-Value Datasets determination for data-driven development: a systematic literature review” (authors: Nikiforova, Rizun, Ciesielska, Alexopoulos, Miletić) took place. Just to remind you, I posted on this paper before – this is that paper, which has been already named “signal in the noise“, in which we asked ourselves and the current body of the knowledge (this is a systematic literature review-driven study):
❓how is the value of the open government data perceived / defined? Are local efforts being made at the country levels to identify dataset that provide the most value to stakeholders of the local open data ecosystem?
❓What datasets are considered to be of higher value in terms of data nature, data type, data format, data dynamism?
❓What indicators are used to determine HVD?
❓Whether there is a framework for determining country-specific HVD? I.e., is it possible to determine what datasets are of value and interest for their reuse & value creation, taking into account the specificities of the country, e.g., culture, geography, ethnicity, likelihood of crises and/or catastrophes.
Although neither OGD, nor the importance of data value are new topics, scholarly publications dedicated to HVD are very limited that makes study unique and constituting a call for action – probably this is also why it it is recommended for reading not only by us but also by The Living Library (by New York University, NYU Tandon School of Engineering, govlab). All in all, we have established some knowledge based, incl. several definitions of HVD, data-related aspects, stakeholders, some indicators and approaches that can now be used as a basis for establishing a discussion of what a framework for determining HVD should look like, which, along with the input we received from a series of international workshops as part of ICEGOV2022, ICOD2022 and DGO2023 with open data experts could enrich the common understanding of the goal, thereby contributing to the next open data wave.
👉Read the paper here
👉See slides here
👉Find supplementary data in open access at Zenodo here
Here I am very grateful to session attendees for raising a discussion around the topic, where some of those comments confirmed once more the correctness of both the problem statement and our future plans – thanks a lot!

Day#2 of started with another keynote talk, whcih this time delivered by Andras Koltay (President of the National Media and Infocommunications Authority and the Media Council of Hungary) on the protection of freedom of expression from social media platforms – very different but yet very insightful talk. Then, my second role of the workshop organizer and chair followed. As part of our workshop “PPPS’2023 – Proactive and Personalised Public Services: Searching for Meaningful Human Control in Algorithmic Government” (chairs: Anastasija Nikiforova, Nitesh Bharosa, Dirk Draheim, Kuldar Taveter). As part of this workshop, which took place in a hybrid mode (not an easy task), we initiated a discussion about personalised and Proactive Public Services, i.e.:
🎯talked about the concepts of public services, reactive and proactive models of public services, and models of their personalization;
🎯asked participants to share their views on public services and the levels of proactivity and personalisation of these services in their countries aiming to develop concepts for holistic proactive and personalised public service delivery;
🎯tried to establish a clearer vision of the “as-is” model and the necessary transition to the “to-be” model, their underlying factors, as well as pitfalls of which governments should be aware when designing, developing, and setting up proactive and personalised public services, trying to understand what are those emerging technologies that will likely have greater effect on public services in terms of both driving them or creating obstacles / barriers for their development and maintenance.
Read a bit more 👉 here
Special thanks to all participants, who attended and were very active (and survived)!

And now a few insights from day#3, when three sessions of our Emerging Issues and Innovations track (chairs: Marijn Janssen, Anastasija Nikiforova, Dr. Csaba Csaki, Francesco Mureddu) finally took place, where I was delighted to chair two of these sessions. Within these three sessions, 8 very diverse, but at the same time super interesting and insightful talks were delivered (predominantly from the United Nations University and Sweden), namely:
✍Metaverse vs. metacurse: The role of governments and public sector use cases by Charmaine Distor, Soumaya Ben Dhaou, & Morten Meyerhoff Nielsen that can be seen as a continuation of the keynote talk by Prof. Yogesh Dwivedi delivered at the 1st day;
✍Dynamic Capabilities and Digital Transformation in Public sector: Evidence from Brazilian case study by Larissa Magalhães;
✍Affording and constraining digital transformation: The enactment of structural change in three Swedish government agencies by Malin Tinjan, Robert Åhlén, Susanna Hammelev Jörgensen & Johan Magnusson
✍The Vicious Cycle of Magical Thinking: How IT Governance Counteracts Digital Transformation by Susanna H. Jörgensen, Tomas Lindroth, Johan Magnusson, Malin Tinjan, Jacob Torell & Robert Åhlen
✍Buridan’s Ass: Encapsulation as a Possible Solution to the Prioritization Dilemma of Digital Transformation by Johan Magnusson, Per Persson, Jacob Torell & Ingo Paas
✍Measuring digital transformation at the local level: assessing the current state of Flemish municipalities by Lieselot Danneels & Sarah Van Impe
✍Blockchain and the GDPR – the shift needed to move forward by Inês Campos Ruas, Soumaya Ben Dhaou & Zoran Jordanoski
✍Construct Hunting in GovTech Research: An Exploratory Data Analysis by Mattias Svahn, Aron Larsson, Eloisa Macedo and Jorge Bandeira
Read papers 👉 here, here & here
Big thanks go to both authors and presenters, as well as the audience, who was very active (even despite the fact that it was the very last day of the conference) and made these sessions a success!
And right after these two sessions, the third keynote by Laszlo Trautmann “The ethics of expertise – the political economy implications of AI”.


And the last but not the least, yet another social event – wine tasting at Etyeki Kúria Borászat / Winery, which was the perfect happy end of the EGOV2023!

Exceptional organization by Corvinus University of Budapest, Csaba Csaki and his team, International Federation for Information Processing (IFIP), Digital Government Society – cheers!🍷🍷🍷

📢🚨⚠️Paper alert! Overlooked aspects of data governance: workflow framework for enterprise data deduplication

Anastasija Nikiforova Leave a comment

This time I would like to recommend for reading the new paper “Overlooked aspects of data governance: workflow framework for enterprise data deduplication” that has been just presented at the IEEE-sponsored International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023). This “just”, btw, means June 19 – the day after my birthday, i.e. so I decided to start my new year with one more conference and paper & yes, this means that again, as many of those who congratulated me were wishing – to find the time for myself, reach work-life balance etc., is still something I have to try to achieve, but this time, I decided to give a preference to the career over my personal life (what a surprise, isn’t it?) 🙂 Moreover, this is the conference, where I am also considered to be part of Steering committee, Technical Program committee, as well as publicity chair. During the conference, I also acted as a session chair of its first session, what I consider to be a special honor – for me the session was very smooth, interactive and insightful, of course, beforehand its participants & authors and their studies, which allowed us to establish this fruitful discussion and get some insights for our further studies (yes, I also got one beforehand one very useful idea for further investigation). Thank you all contributors, with special thanks to Francisco Bonilla Rivas, Bruck Wubete, Reem Nassar, Haitham Al Ajmi.

And I am also proud with getting one of four keynotes for this conference – prof. Eirini Ntoutsi from the Bundeswehr University Munich (UniBw-M), Germany, who delivered a keynote “Bias and Discrimination in AI Systems: From Single-Identity Dimensions to Multi-Discrimination“, which I heard during one of previous conferences I attended and decided that it is “must” for our conference as well – super glad that Eirini accepted our invitation! Here, I will immediately mention that other keynotes were excellent as well – Giancarlo Fortino (University of Calabria, Italy), Dofe Jaya (Computer Engineering Department, California State University, Fullerton, California, USA), Sandra Sendra (Polytechnic University of Valencia, Spain).

The paper I presented is authored in a team of three – Otmane Azeroual, German Centre for Higher Education Research and Science Studies (DZHW), Germany, myself – Anastasija Nikiforova, Faculty of Science and Technology, Institute of Computer Science, University of Tartu, Estonia & Task Force “FAIR Metrics and Data Quality”, European Open Science Cloud & Kewei Sha, College of Science and Engineering University of Houston Clear Lake, USA – very international team. So, what is the paper about? It is (or should be) clear that data quality in companies is decisive and critical to the benefits their products and services can provide. However, in heterogeneous IT infrastructures where, e.g., different applications for Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), product management, manufacturing, and marketing are used, duplicates, e.g., multiple entries for the same customer or product in a database or information system, occur. There can be several reasons for this (incl. but not limited due to the growing volume of data, incl. due to the adoption of cloud technologies, use of multiple different sources, the proliferation of connected personal and work devices in homes, stores, offices and supply chains), but the result of non-unique or duplicate records is a degraded data quality, which, in turn, ultimately leads to inaccurate analysis, poor, distorted or skewed decisions, distorted insights provided by Business Intelligence (BI) or machine learning (ML) algorithms, models, forecasts, and simulations, where the data form the input, and other data-driven activities such as service personalisation in terms of both their accuracy, trustworthiness and reliability, user acceptance / adoption and satisfaction, customer service, risk management, crisis management, as well as resource management (time, human, and fiscal), not to say about wasted resources, and employees, who are less likely trust the data and associated applications thereby affecting the company image. This, in turn, can lead to a failure of a project if not a business. At the same time, the amount of data that companies collect is growing exponentially, i.e., the volume of data is constantly increasing, making it difficult to effectively manage them. Thus, both ex-ante and ex-post deduplication mechanisms are critical in this context to ensure sufficient data quality and are usually integrated into a broader data governance approach. In this paper, we develop such a conceptual data governance framework for effective and efficient management of duplicate data, and improvement of data accuracy and consistency in medium to large data ecosystems. We present methods and recommendations for companies to deal with duplicate data in a meaningful way, while the presented framework is integrated into one of the most popular data quality tools – Data Cleaner.

In short, in this paper we:

  • first, present methods for how companies can deal meaningfully with duplicate data. Initially, we focus on data profiling using several analysis methods applicable to different types of datasets, incl. analysis of different types of errors, structuring, harmonizing, & merging of duplicate data;
  • second, we propose methods for reducing the number of comparisons and matching attribute values based on similarity (in medium to large databases). The focus is on easy integration and duplicate detection configuration so that the solution can be easily adapted to different users in companies without domain knowledge. These methods are domain-independent and can be transferred to other application contexts to evaluate the quality, structure, and content of duplicate / repetitive data;
  • finally, we integrate the chosen methods into the framework of Hildebrandt et al. [ref 2]. We also explore some of the most common data quality tools in practice, into which we integrate this framework.

After that, we test and validate the framework. The final refined solution provides the basis for subsequent use. It consists of detecting and visualizing duplicates, presenting the identified redundancies to the user in a user-friendly manner to enable and facilitate their further elimination.

With this paper we aim to support research in data management and data governance by identifying duplicate data at the enterprise level and meeting today’s demands for increased connectivity / interconnectedness, data ubiquity, and multi-data sourcing. In addition, the proposed conceptual data governance framework aims to provide an overview of data quality, accuracy and consistency to help practitioners approach data governance in a structured manner.

In general, not only technological solutions are needed that would identify / detect poor quality data and allow their examination and correction, or would ensure their prevention by integrating some controls into the system design, striving for “data quality by design” [ref3, ref4], but also cultural changes related to data management and governance within the organization. These two perspectives form the basis of the wealth business data ecosystem. Thus, the presented framework describes the hierarchy of people who are allowed to view and share data, rules for data collection, data privacy, data security standards, and channels through which data can be collected. Ultimately, this framework will help users be more consistent in data collection and data quality for reliable and accurate results of data-driven actions and activities.

Sounds interesting? Read the paper -> here (to be cited as: Azeroual, O., Nikiforova, A., Sha, K. (2023, June). Overlooked aspects of data governance: workflow framework for enterprise data deduplication. In 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023). IEEE (in print))

International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023) is collocated with The International Conference on Multimedia Computing, Networking and Applications (MCNA2023), which are sponsored by IEEE (IEEE Espana Seccion), Universitat Politecnica de Valencia, Al ain University. Great thanks to the organizers – Jaime Lloret, Universitat Politècnica de València, Spain & Yaser Jararweh, Jordan University of Science and Technology, Jordan & Marios C. Angelides, Brunel University London, UK & Muhannad Quwaider, Jordan University of Science and Technology, Jordan.

References:

Azeroual, O., Nikiforova, A., Sha, K. (2023, June). Overlooked aspects of data governance: workflow framework for enterprise data deduplication. In 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023). IEEE (in print).

Hildebrandt, K., Panse, F., Wilcke, N., & Ritter, N. (2017). Large-scale data pollution with Apache Spark. IEEE Transactions on Big Data, 6(2), 396-411

Guerra-García, C., Nikiforova, A., Jiménez, S., Perez-Gonzalez, H. G., Ramírez-Torres, M., & Ontañon-García, L. (2023). ISO/IEC 25012-based methodology for managing data quality requirements in the development of information systems: Towards Data Quality by Design. Data & Knowledge Engineering, 145, 102152.

Corrales, D. C., Ledezma, A., & Corrales, J. C. (2016). A systematic review of data quality issues in knowledge discovery tasks. Revista Ingenierías Universidad de Medellín, 15(28), 125-150.

Rii Forum 2023 “Innovation 5.0: Navigating shocks and crises in uncertain times Technology-Business-Society” & a plenary debate “Advances in ICT & the Society”

Anastasija Nikiforova 1 Comment

Last week, I had an unforgettable experience at the Research and Innovation Forum (RiiForum) on which I posted previously in Krakow, Poland, serving as plenary speaker and session chair. It was another great experience to have an absolutely amazing plenary session titled “Advances in ICT & the Society: threading the thin line between progress, development and mental health”, where we – Prof. Dr. Yves Wautelet, Prof. Dr. Marek Krzystanek, Karolina Laurentowska & Prof. Marek Pawlicki – discussed disruptive technologies in our professional lives in the past years, how they affected us and our colleagues, how they affect(ed) society and its specific groups, including their mental health, and general perception of technology, i.e. an enemy of humanity, or rather a friend and support, and how to make sure the second take place. And from this we have developed a discussion around AI, chatGPT, Metaverse, blockchain, even slightly touching on quantum computing. Of course, all this was placed in the context of democracy and freedoms / liberties. All in all, we approached the topic of governance and policy-making, which is too often reactive rather than proactive, which, in turn, leads to many negative consequences, as well as elaborated on the engineering practices. 

To sum up – emerging and disruptive technologies, Blockchain, AI, Metaverse, digital competencies, education, liberty, democracy, openness, engagement, metaverse, inclusivity, Industry 5.0, Society 5.0 – and it is not a list of buzzwords, but a list of topics we have managed to cover both plenary speakers and the audience and continued to talk about them during the whole conference. Rich enough, isn’t it?

And then the day did not end, continuing with several super insightful sessions, where, of course, one I enjoyed most is the one that I chaired. Three qualitative talks with further rich discussion after each thanks to an excellent audience, despite the fact this was the last session of the day (before the dinner), namely:

  • Privacy in smart cities using VOSviewer: a bibliometric analysis by Xhimi Hysa, Gianluca Maria Guazzo, Vilma Cekani, Pierangelo Rosati
  • Public policy of innovation in China by Krzysztof Karwowski, Anna Visvizi
  • How Human-Centric solutions and Artificial Intelligence meet smart cities in Industry 5.0 by Tamai Ramirez, Sandra Amador, Antonio Macia-Lillo, Higinio Mora
     

And the last, but not the least, Krakow surprised me lot (in a positive sense, of course) – it was my first time in Poland, and I am absolutely glad that it was on such a beautiful city as Krakow – the place with the rich history and culture! Thank you dear RiiForum2023 organizers – Anna Visvizi, Vincenzo Corvello, ORLANDO TROISI, Mara Grimaldi, Giovanni Baldi and everyone who was involved – it is always a pleasure to be a part of this community!

 

CFP for The IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023)

Anastasija Nikiforova Leave a comment

On behalf of the organizers (Technical Program Chair, Steering Committee, and finally publicity chair) of the IEEE International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS2023), I am inviting everyone, who is conducting research in this area, to consider submitting the paper to it.

Call for Papers:

New advancements in wireless communication systems such as Fifth-Generation (5G), Beyond Fifth-Generation (B5G), and Sixth-Generation (6G) networks will allow for new and unprecedented services to be made available for users with nearly unlimited capacity. These services will be the core driver for future digital transformation of our cities and communities. This will be accompanied by a ubiquitous deployment of Internet of Things (IoT) infrastructure and supported by computing capacity that will be available at the edge of the network and in the cloud. This computing infrastructure will handle the processing of data generated by users and services. Such a complex and diverse system will require the applications running on the computing/networking infrastructure to be Intelligent, efficient and sustainable. Additionally, the infrastructure will require smart control and automation systems to integrate and manage its different components. Artificial Intelligence (AI) and its applications will play a significant role in the design, deployment, automation, and management of future services. This will include applications that will be running on the edge and on cloud servers, networking applications to handle the flow of data between the users and the computing system, and intelligent automation and management software operating on the system. The International Conference on Intelligent Computing, Networking, and Services is aiming to provide an opportunity to present state of the art research in the intersections of Computing, Networking, and Services that are supported by Artificial Intelligence.

Submission Link: https://easychair.org/conferences/?conf=iccns2023

Researchers from both the industry and academia are encouraged to submit their original research contributions in all major areas, which include, but are not limited to the following main tracks:

💡Track 1: Artificial Intelligence Fundamentals

  • Artificial Intelligent Systems
  • Artificial Intelligent Theory
  • Artificial Intelligent applications in Computers and Communications
  • Artificial Intelligent and Robotics Technologies
  • Artificial Intelligent and cloud computing
  • Artificial Intelligent for Economic paradigms and game theory
  • Machine and Deep Learning of Knowledge
  • Artificial Intelligent based Distributed Knowledge and Processing
  • Artificial Intelligent for Human-Robot Interactions

💡Track 2: Intelligent Internet of Things and Cyber-Physical Systems

  • Intelligent IoT Applications and Services
  • Intelligent security for the Internet of Things and cyber-physical systems
  • Intelligent Internet of Things architectures and protocols
  • Intelligent Cyber Physical Systems (CPS)
  • Blockchain-based application in Intelligent Manufacturing: Industrial Internet of Things,
  • Blockchain and Secure Critical Infrastructure with Industry 4.0
  • Intelligent manufacture and management
  • Consensus and mining algorithms suited for resource-limited IoTs
  • Blockchain-based Controlled mobility and QoS
  • Blockchain-based energy optimization techniques in WSN
  • Blockchain-based Software defined networks

💡Track 3: Edge Intelligence and Federated Learning

  • Distributed and federated machine learning in edge computing
  • Theory and Applications of Edge Intelligence
  • Middleware and runtime systems for Edge Intelligence
  • Programming models compliant with Edge Intelligence
  • Scheduling and resource management for Edge Intelligence
  • Data allocation and application placement strategies for Edge Intelligence
  • Osmotic computing with edge continuum, Microservices and MicroData architectures
  • ML/AI models and algorithms for load balancing
  • Theory and Applications of federated learning
  • Federated learning and privacy-preserving large-scale data analytics
  • MLOps and ML pipelines at edge computing
  • Transfer learning, interactive learning, and Reinforcement Learning for edge computing
  • Modeling and simulation of EI and edge-to-cloud environments
  • Security, privacy, trust, and provenance issues in edge computing
  • Distributed consensus and blockchains at edge architecture
  • Blockchain networking for Edge Computing Architecture
  • Blockchain technology for Edge Computing Security
  • Blockchain-based access controls for Edge-to-cloud continuum
  • Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems
  • Forensic Data Analytics compliant with Edge Intelligence

💡Track 4: Intelligent Networking in Beyond 5G (B5G) and 6G Wireless Communication

  • Intelligent Networking in Beyond 5G/6G Network Architectures
  • large-scale Internet of Things in B5G/6G
  • Vehicular networks in B5G/6G
  • Blockchain with lightweight computation
  • Service and applications for vehicular clouds in B5G/6G
  • Future internet architectures for B5G/6G
  • Intelligent networking services
  • Emerging networks in B5G/6G
  • Byzantine-tolerant FL
  • Churn-tolerant FL
  • FL for NGN and 6G
  • B5G/6G based IoT healthcare systems

💡Track 5: Intelligent Big Data Management and Processing

  • Intelligent Data Fusion
  • Intelligent Analytics and Data mining
  • Intelligent Distributed data management
  • Distributed transaction for blockchain
  • Intelligent Data Science and Data Engineering
  • Protocols for management and processing of data

💡Track 6: Intelligent Security and Privacy

  • Authentication and authorization
  • Applications of blockchain technologies in digital forensic
  • Privacy technologies
  • Blockchain-based threat intelligence and threat analytics techniques
  • Blockchain-based open-source tools
  • Forensics readiness of blockchain technologies
  • Blockchain Attacks on Existing Systems
  • Blockchain Consensus Algorithms
  • Blockchain-based Intrusion Detection/Prevention
  • Security and Privacy in Blockchain and Critical Infrastructure
  • Attacks on Blockchain and Critical Infrastructure
  • Blockchain and Secure Critical Infrastructure with Smart Grid

💡Track 7: Blockchain Research & Applications for Intelligent Networks and Services

  • State-of-the-art of the Blockchain technology and cybersecurity
  • Blockchain-based security solutions of smart cities infrastructures
  • Blockchain in connected and autonomous vehicles (CAV) and ITS)
  • Blockchain Technologies and Methodologies
  • Recent development and emerging trends Blockchain
  • New models, practical solutions and technological advances related to Blockchain
  • Theory of Blockchain in Cybersecurity
  • Applications of blockchain technologies in computer & hardware security
  • Implementation challenges facing blockchain technologies
  • Blockchain in social networking
  • Performance metric design, modeling and evaluation of blockchain systems
  • Network and computing optimization in blockchains
  • Experimental prototyping and testbeds for blockchains
  • Blockchain networking for Edge Computing Architecture
  • Blockchain technology for Edge Computing Security
  • Blockchain-based access controls for Edge-to-cloud continuum
  • Blockchain-enabled solutions for Cloud and Edge/Fog IoT systems
  • Forensic Data Analytics compliant with Edge Intelligence

Two workshops are scheduled to take place as part of ICCNS that you cannot miss, namely:

🗓️🗓️🗓️ IMPORTANT DATES

  • Full paper submission: April 21st, 2023 (Firm and Final)
  • Full paper acceptance notification: May 6th, 2023
  • Full paper camera-ready submission: May 20th, 2023
iccns2023Download

For any inquiries, please contact: intelligenttechorg@gmail.com.

Submit the paper and meet our team in Valencia in June, 2023!
 

With best wishes,

ICCNS2023 organizers

The International Open Data Day and my role of Keynote Speaker for the 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) 🎤🎤🎤

Anastasija Nikiforova Leave a comment

This post is dedicated to two very pleasant events for me, namely the international Open Data Day 🎉🍾🥂, and the announcement of the keynote talk that I was kindly invited to deliver at the 5th International Conference on Advanced Research Methods and Analytics (CARMA) organized and sponsored by Universidad de Sevilla, Cátedra Metropol Parasol, Cátedra Digitalización Empresarial, IBM, Universitat Politècnica de València, Joint Research Center – European Commission and 🥁 🥁 🥁 Coca-Cola – what a delicious conference!🍸🍸🍸

CARMA is a forum for researchers and practitioners to exchange ideas and advances on how emerging research methods and sources are applied to different fields of social sciences as well as to discuss current and future challenges with main focus on the topics such as Internet and Big Data sources in economics and social sciences including Social media and public opinion mining, Web scraping, Google Trends and Search Engine data, Geospatial and mobile phone data, Open data and public data, Big Data methods in economics and social sciences such as Sentiment analysis, Internet econometrics, AI and Machine learning applications, Statistical learning, Information quality and assessment, Crowdsourcing, Natural Language processing, Explainability and interpretability, the applications of the above including but not limited to Politics and social media, Sustainability and development, Finance applications, Official statistics, Forecasting and nowcasting, Bibliometrics and sciencetometrics, Social and consumer behaviour, mobility patterns, eWOM and social media marketing, Labor market, Business analytics with social media, Advances in travel, tourism and leisure, Digital management, Marketing Intelligence analytics, Data governance, and Digital transition and global society, which, in turn, expects contributions in relation to Privacy and legal aspects, Electronic Government, Data Economy, Smart Cities, Industry adoption.

And as almost each and every conference, CARMA expects to have keynotes, which are two – Patrick Mikalef, who will talk about Responsible AI and Big Data Analytics, and me, whose keynote talk will be devoted to the topics I studied in recent years titled “Public data ecosystems in and for smart cities: how to make open / Big / smart / geo data ecosystems value-adding for SDG-compliant Smart Living and Society 5.0?” Sounds interesting? (I hope so) Stay tuned to know more! And return back, since I plan to reflect on the content of both talks and the conference in general.

The CARMA 2023 conference will be held on 28 June – 30 June 2023 in the University of Seville.